Space Weather: Seismic Study of the Solar Subsurface Based on Robust Time-Distance Inferences Using Upgraded Global Oscillation Network Group (GONG+) Instrument Observations

空间天气：使用升级的全球振荡网络组 (GONG) 仪器观测，基于鲁棒时距推断的太阳地下地震研究

• 批准号: 0318390
• 负责人: Sylvain Korzennik
• 金额: --
• 依托单位: Smithsonian Institution Astrophysical Observatory
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2003
• 资助国家: 美国
• 起止时间: 2003-09-01 至 2008-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0318390&HistoricalAwards=false
• 关键词: Space; Weather; Seismic; Study; Solar

This research will contribute to the development of a robust time-distance analysis and inversion methodology to use the solar acoustic oscillations to infer the three-dimensional subsurface structure of magnetic flux concentrations rising from the solar interior. It will permit one to better characterize the actual diagnostic potential of the method and to better understand the biases in the inferred solutions introduced by the topology of the associated annihilator, while addressing trade-off issues between resolution in space and time versus error magnification. Such a development of time-distance analysis techniques is a key element needed to maximize the scientific return of the upgraded Global Oscillation Network Group (GONG) instruments, and it also offers the potential of a long-range forecasting tool for the National Space Weather Program.

这项研究将有助于发展一个强大的时间-距离分析和反演方法，利用太阳声振荡来推断从太阳内部上升的磁通量浓度的三维地下结构。 它将允许一个更好地表征的方法的实际诊断潜力，并更好地理解由相关的零化子的拓扑结构引入的推断的解决方案中的偏差，同时解决空间和时间分辨率与误差放大之间的权衡问题。 这种时间-距离分析技术的发展是使升级后的全球振荡网络组仪器的科学回报最大化所需的一个关键因素，它还为国家空间气象方案提供了一种长期预报工具的潜力。